[Excerpted from the eBook Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics]

Until recently, graph database designs fulfilled some but not all of the graph analytics needs of enterprises. The first generation of graph databases (e.g., Neo4j) was not designed for big data. They cannot scale out to a distributed database, are not designed for parallelism, and perform slowly at both data loading and querying for large datasets and/or multi-hop queries.

Source: DZone

By Yu Xu